Preliminary investigation of heroin fingerprinting using trace element concentrations

R. Myors; R. J. Wells; S. V. Skopec; P. Crisp; R. Iavetz; Z. Skopec; A. Ekangaki; J. Robertson

doi:10.1039/a808802k

Preliminary investigation of heroin fingerprinting using trace element concentrations

R. Myors, R. J. Wells, S. V. Skopec, P. Crisp, R. Iavetz, Z. Skopec, A. Ekangaki, J. Robertson

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Abstract

Heroin samples [76 South East Asian (SEA), 20 non-South East Asian (non-SEA) and 92 of uncertain origin] were analysed by inductively coupled plasma mass spectrometry for 73 elements. Hierarchical cluster analysis (HCA) grouped together the SEA and many of the non-SEA subgroups, and grouped together elements with similar chemical properties. K-means cluster, correlation and principal component analyses supported the HCA. Logistic models were created using continuous, discrete and a combination of continuous and discrete elemental data in order to predict the SEA or non-SEA origin of samples. The predictive values of the models were 68-100%, the most successful models simultaneously using both continuous and discrete concentration data.

Original language	English
Pages (from-to)	403-410
Number of pages	8
Journal	Analytical Communications
Volume	35
Issue number	12
DOIs	https://doi.org/10.1039/a808802k
Publication status	Published - 1 Jan 1998
Externally published	Yes

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abstract = "Heroin samples [76 South East Asian (SEA), 20 non-South East Asian (non-SEA) and 92 of uncertain origin] were analysed by inductively coupled plasma mass spectrometry for 73 elements. Hierarchical cluster analysis (HCA) grouped together the SEA and many of the non-SEA subgroups, and grouped together elements with similar chemical properties. K-means cluster, correlation and principal component analyses supported the HCA. Logistic models were created using continuous, discrete and a combination of continuous and discrete elemental data in order to predict the SEA or non-SEA origin of samples. The predictive values of the models were 68-100%, the most successful models simultaneously using both continuous and discrete concentration data.",

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AU - Myors, R.

AU - Wells, R. J.

AU - Skopec, S. V.

AU - Crisp, P.

AU - Iavetz, R.

AU - Skopec, Z.

AU - Ekangaki, A.

AU - Robertson, J.

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Y1 - 1998/1/1

N2 - Heroin samples [76 South East Asian (SEA), 20 non-South East Asian (non-SEA) and 92 of uncertain origin] were analysed by inductively coupled plasma mass spectrometry for 73 elements. Hierarchical cluster analysis (HCA) grouped together the SEA and many of the non-SEA subgroups, and grouped together elements with similar chemical properties. K-means cluster, correlation and principal component analyses supported the HCA. Logistic models were created using continuous, discrete and a combination of continuous and discrete elemental data in order to predict the SEA or non-SEA origin of samples. The predictive values of the models were 68-100%, the most successful models simultaneously using both continuous and discrete concentration data.

AB - Heroin samples [76 South East Asian (SEA), 20 non-South East Asian (non-SEA) and 92 of uncertain origin] were analysed by inductively coupled plasma mass spectrometry for 73 elements. Hierarchical cluster analysis (HCA) grouped together the SEA and many of the non-SEA subgroups, and grouped together elements with similar chemical properties. K-means cluster, correlation and principal component analyses supported the HCA. Logistic models were created using continuous, discrete and a combination of continuous and discrete elemental data in order to predict the SEA or non-SEA origin of samples. The predictive values of the models were 68-100%, the most successful models simultaneously using both continuous and discrete concentration data.

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Preliminary investigation of heroin fingerprinting using trace element concentrations

Abstract

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